SiROP
Login   
Language
  • English
    • English
    • German
Home
Menu
  • Login
  • Register
  • Search Opportunity
  • Search Organization
  • Create project alert
Information
  • About SiROP
  • Team
  • Network
  • Partners
  • Imprint
  • Terms & conditions
Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.

Continuous-Time Simultaneous-Localization and Mapping

The emerging paradigm of Continuous-Time Simultaneous Localization And Mapping (CTSLAM) has become a competitive alternative to conventional discrete-time approaches in recent times and holds the additional promise of fusing multi-modal sensor setups in a truly generic manner, rendering its importance to robotic navigation and manipulation seminal. Based on our recent works, there are several possible and interesting extensions that are currently under consideration as student theses, spanning from research-oriented to engineering-oriented topics. We are looking forward to individually discussing the available theses in greater detail in person.

Keywords: Continuous-Time Simultaneous Localization and Mapping (SLAM), Asynchronous Sensor Fusion, Continuous-Time Motion Parametrizations, Non-Linear Optimization, Visual-Inertial Odometry, Sensor Calibration

  • See attached PDF.

    See attached PDF.

  • See attached PDF.

    See attached PDF.

  • See attached PDF.

    See attached PDF.

  • David Hug - dhug@ethz.ch

    David Hug - dhug@ethz.ch

  • Not specified

  • Not specified

Calendar

Earliest start2023-03-06
Latest endNo date

Location

Vision for Robotics Lab (ETHZ)

Labels

Semester Project

Master Thesis

Topics

  • Information, Computing and Communication Sciences

Documents

NameCommentSizeActions
2023_fs_generic.pdf507KBDownload
SiROP PARTNER INSTITUTIONS